Distributed Credit Scoring Machine Learning Pipeline

Architect a distributed database system using Redis and PostgreSQL that supports machine learning-driven credit scoring for financial institutions. Create a schema that can ingest multiple data sources, perform real-time risk calculations, and generate predictive credit models. Implement secure data anonymization, advanced feature engineering pipelines, and support for model versioning. Design a system that can scale horizontally and provide near-instantaneous credit risk assessments.